A SURVEY OF HYPERSPECTRAL IMAGE SUPER-RESOLUTION TECHNOLOGY

被引：24

作者：

Zhang, Meilin ^{[1
]}

Sun, Xiongli ^{[2
]}

Zhu, Qiqi ^{[1
]}

Zheng, Guizhou ^{[1
]}

机构：

[1] China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China

[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China

来源：

2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年

基金：

中国国家自然科学基金;

关键词：

Hyperspectral remote sensing; image super-resolution; image fusion; singe HSI SR; deep learning; MULTISPECTRAL IMAGES; FUSION; RESOLUTION; MODEL;

D O I：

10.1109/IGARSS47720.2021.9554409

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Hyperspectral images (HSIs) have very high spectral resolution, which can reflect the characteristics of different materials well. However, compared with RGB image or multispectral image (MSI), the spatial resolution of HSI is much lower, which limits its applications. Therefore, many super-resolution (SR) techniques have been proposed to reconstruct HSI with high spatial resolution image. To the best of our knowledge, there has not, to date, that been a study aimed at expatiating and summarizing the current research situation. Therefore, this is our motivation in this survey. In view of the promising development prospects in this field, this paper systematically reviews the existing SR methods of HSI. Specifically, two major categories are summarized, one is fusion-based methods, and the other is single HSI SR methods. At the end of the paper, several future development directions for HSI SR are given.

引用

页码：4476 / 4479

页数：4

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